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Job Purpose and Impact
Sr. Operations Research Engineer will lead discussions with client domain experts, operations teams and other operations research engineers to gain direct insight on complex facility and process questions regarding material flow, personnel flow, utilization, space constraints and bottlenecks. In this role, you will develop and implement complex simulation and optimization models designed to answer questions on making our manufacturing and supply chains more effective. You will be responsible for complex project planning, model development and validation, deployment, and long term support of the solutions.
Develop, validate and deploy complex simulation and optimization models to drive strategic and tactical decisions.
Apply various modeling techniques to generate solutions to complex business problems such as resource planning, production planning, scheduling, facility location, portfolio optimization, supply chain management, pricing and revenue optimization.
Partner collaboratively with internal business stakeholders and project managers to transform business requirements into a business solution.
Compile simulation data, assumptions, calculations and results to provide insight to leadership using model results and reports.
Develop innovative, repeatable, business use cases, and quickly develop prototypes to test these use cases.
Develop a library of standard modeling elements for ease of use in future models. Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
Other duties as assigned
Bachelor’s degree in a related field or equivalent experience
Proficiency in object-oriented programming frameworks
Experience with email, spreadsheet and word processing applications
Experience developing simulation and optimization models leveraging at least one of the various related commercial software tools
Experience utilizing advanced knowledge to develop models in one or more of the following fields: discrete event simulation, discrete optimization, integer programming, dynamic programming, heuristics, genetic algorithms, or other metaheuristics
Minimum of four years of related work experience
Master's degree in operations research, industrial engineering, applied mathematics, statistics, computer science or related field
Experience in commercial optimization solvers
Experience applying lean principles and methods to develop standardized model and data frameworks in order to identify best practices in model development
Equal Opportunity Employer, including Disability/Vet.